Software Developer, AI Agents

BMO U.S.

AI Developer at BMO contributing to multi-year AI initiatives for enterprise-grade solutions. Designing and building AI agents with a focus on operational efficiency and user experience.

Posted 6/11/2026full-timeChicago • Illinois, New Jersey • 🇺🇸 United StatesMid-LevelSenior💰 $81,400 - $151,800 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudPython

About the role

Key responsibilities & impact

Drive the development of the “Agent Ecosystem” by designing, building, and operationalizing enterprise-grade AI agents and the orchestration layer that seamlessly coordinates their interactions.
Serve as a player-coach, balancing hands-on engineering, building agent prototypes and platform components, with strategic guidance, including shaping product direction, advising on implementation best practices, and fostering a culture of technical excellence.
Initially focus on creating foundational patterns and frameworks that can be leveraged across the broader agent development landscape, enabling scalability and reusability.
Design Agents and implement an agent orchestration layer (routing, tool-calling patterns, workflow coordination, agent registry integration, state management, and failure/fallback strategies) by leveraging your software development super-powers (Python).
Define and apply enterprise agent patterns (standard agent templates, reusable components, and orchestration controls).
Establish observability/monitoring for agents and orchestrations: logging, tracing, drift detection signals, agent-specific metrics, and operational dashboards.
Integrate Microsoft Azure services and Microsoft ecosystem components (with emphasis on Azure AI capabilities and “Foundry” experience where applicable).
Partner with leadership to clarify expected outcomes/vision and translate them into an executable build plan, architecture decisions, and delivery milestones.
Operate and support production grade AI solutions to meet availability, reliability, and performance expectation.
Perform routine model, prompt, and configuration updates within approved change processes.
Embed Applied AI Evals considerations into the platform: governance hooks, auditability, risk controls, and operational readiness for agents.

Requirements

What you’ll need

6-7 years of AI software development experience, with at least 2 years in AI agent/multi-agent development.
Hands-on experience across Microsoft Azure services (designing, deploying, and operating cloud-native systems).
Certifications in Azure AI Engineer, python is a plus.
Strong background in AI agent ecosystems (multi-agent patterns, orchestration concepts, agent registries, tool routing, memory/state, evaluation approaches).
Demonstrated ability to implement monitoring/observability for AI/agent solutions (logging, tracing, metrics, and operational alerting).
Proven delivery on multiple AI initiatives—comfortable shaping ambiguity into “the right questions,” crisp requirements, and practical design.
Financial services or wealth management experience preferred.

Benefits

Comp & perks

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonAI software developmentAI agent developmentmulti-agent developmentobservabilitymonitoringloggingtracingmetricsorchestration

Soft Skills

strategic guidancetechnical excellencecollaborationproblem-solvingcommunicationleadershipadaptabilitycritical thinkingproject managementdelivery

Certifications

Azure AI Engineer